Machine Learning Approach to Cross-Language Translation and Search

2. The system of claim 1, wherein the elimination criteria further includes removing word tokens based on a set of rules, and wherein a word token solution set is removed based on a determination that at least a number of important word tokens are not associated with the index file.

3. The system of claim 1, wherein the elimination criteria further includes removing a token solution set that does not correspond to romanizations and dictionary translations from a same character group.

4. The system of claim 1, wherein the frequency token threshold is determined using an average and a standard deviation of a set of frequency scores.

5. The system of claim 1, wherein the input symbol is a logographic language and different from a second language in the index file.

9. The method of claim 8, wherein the elimination criteria further includes removing word tokens based on a set of rules, and wherein a word token solution set is removed when at least a number of a subset of word tokens are not associated with the index file.

10. The method of claim 8, wherein the elimination criteria further includes removing a token solution set that does not correspond to romanizations and dictionary translations from a same character group.

11. The method of claim 8, wherein the frequency token threshold is determined using an average and a standard deviation of a set of frequency scores.

12. The method of claim 8, wherein the input symbol is a logographic language and different from a second language in the index file.

15. The non-transitory machine-readable medium of claim 14, wherein the elimination criteria further includes removing word tokens based on a set of rules, and wherein a word token solution set is removed based on at least a number of the group of word tokens not being associated with the index file.

16. The non-transitory machine-readable medium of claim 14, wherein the elimination criteria further includes removing a token solution set that does not correspond to romanizations and dictionary translations from a same character group.

17. The non-transitory machine-readable medium of claim 14, wherein the frequency token threshold is determined using an average and a standard deviation of a set of frequency scores.

18. The non-transitory machine-readable medium of claim 14, wherein the input symbol is a logographic language and different from a second language in the index file.